QUARTILE.INC

QUARTILE.INC calculates quartiles, which divide a data set into four equal parts. It is useful for understanding the distribution and spread of values. This function is commonly used in statistics and data analysis.

Syntax 🔗

=QUARTILE.INC(array, quart)

array The array or range of numeric values for which you want to calculate the quartile.
quart An integer (1 to 3) representing the quartile to return. 1 returns the first quartile (25th percentile), 2 returns the second quartile (50th percentile / median), and 3 returns the third quartile (75th percentile).

About QUARTILE.INC 🔗

QUARTILE.INC helps you find quartile values in a dataset, dividing the data into four equal parts. This function is useful for analyzing data distribution and variability, allowing you to gain insights into the range and position of values within your dataset.

Examples 🔗

To determine the first quartile (Q1), representing the 25th percentile, for a dataset of exam scores in cells A1:A20, use the formula: =QUARTILE.INC(A1:A20, 1)

To find the third quartile (Q3) for a dataset of sales figures in cells B1:B50, apply: =QUARTILE.INC(B1:B50, 3)

Notes 🔗

Make sure the array argument includes only numeric values. The quart argument should be an integer between 1 and 3. Providing an incorrect quart argument might cause an error or lead to unexpected results. QUARTILE.INC offers an inclusive quantile estimation, unlike the QUARTILE function, which uses an exclusive approach.

Questions 🔗

How does QUARTILE.INC divide a dataset into quartiles?

QUARTILE.INC divides a dataset into quartiles by identifying the values that mark the 25th, 50th, and 75th percentiles of the data set, thus creating four equal parts.

What do the quartile values returned by QUARTILE.INC signify?

The quartile values returned by QUARTILE.INC represent specific points within the dataset: Q1 (first quartile) marks the 25th percentile, Q2 (second quartile) is the median (50th percentile), and Q3 (third quartile) denotes the 75th percentile.

QUARTILE.EXC
PERCENTILE.INC
PERCENTILE.EXC
MEDIAN
MODE.SNGL
AVERAGE
STDEV.S
COUNT

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